Association between Preoperative Nutritional Status and Clinical Outcomes of Patients with Coronary Artery Disease Undergoing Percutaneous Coronary Intervention

Assessing the Predictive Value of Different Nutritional Indexes for Contrast-Associated Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Intervention

BACKGROUND

The link between malnutrition and poor prognosis in cardiovascular disease has been established but the association between malnutrition and contrast-associated acute kidney injury (CA-AKI), a common complication of coronary procedures, remains poorly understood. In this study we investigated the predictive value of 3 nutritional indexes for CA-AKI in patients undergoing percutaneous coronary intervention (PCI).Methods and Results: The study included a total of 6,049 consecutive patients undergoing PCI between May 2012 and September 2020, among whom 352 (5.8%) developed CA-AKI. We used the Controlling Nutritional Status (CONUT) score, the Geriatric Nutritional Risk Index (GNRI), and the Prognostic Nutritional Index (PNI) to assess the association between malnutrition risk and CA-AKI after PCI. Multivariate logistic regression analysis revealed that malnutrition, as identified by GNRI and PNI, was significantly associated with a higher risk of CA-AKI (moderate-severe malnutrition in GNRI: odds ratio [OR]=1.92, [95% confidence interval (CI), 1.27-2.85]; malnutrition in PNI: OR=1.87, [95% CI, 1.39-2.50]), whereas the CONUT score did not demonstrate a significant difference (P>0.05). Furthermore, GNRI (∆AUC=0.115, P<0.001) and PNI (∆AUC=0.101, P<0.001) exhibited superior predictive ability than the CONUT score for CA-AKI and significantly improved reclassification and discrimination in the fully adjusted model.

CONCLUSIONS

Malnutrition, especially identified by the GNRI and PNI, was associated with a higher risk of CA-AKI after PCI. GNRI and PNI performed better than the CONUT score in predicting CA-AKI.

Effects of Preoperative Nutritional Status and Lymphocyte Count on the Development of Early-term Atrial Fibrillation After Coronary Artery Bypass Grafting: A Retrospective Study

INTRODUCTION

Although there are publications in the literature stating that parameters related to the nutritional status of patients are associated with the clinical outcomes of those with coronary artery disease, it is also stated that there is insufficient data on the relationship between nutritional indices and long-term outcomes and major adverse cardiovascular events in patients undergoing isolated coronary artery bypass grafting.

METHODS

This retrospective study was conducted with patients who underwent isolated elective on-pump coronary artery bypass grafting in our hospital. Patients who underwent emergency coronary artery bypass grafting or those with known atrial fibrillation in the preoperative period were excluded. Patients were analyzed and compared in two groups according to the development of postoperative atrial fibrillation.

RESULTS

The data of 93 coronary artery bypass grafting patients (71 [76%] males) with a mean age of 62.86 ± 9.53 years included in the study were evaluated. Both groups had similar preoperative ejection fraction value, hemoglobin level, age, number of distal bypasses, and postoperative mortality rates. Although the mean cardiopulmonary bypass and aortic cross-clamping times were higher in Group 1, they were not statistically significant. In our study, the mean prognostic nutrition index value was 51.76 ± 3002.

CONCLUSION

According to our study results, there was no statistically significant difference between prognostic nutrition index values and the development of atrial fibrillation after coronary artery bypass grafting, which is similar to some publications in the literature. We think that it would be beneficial to conduct randomized studies involving more patients on this subject.

Establishment and evaluation of a nomogram for in-hospital new-onset atrial fibrillation after percutaneous coronary intervention for acute myocardial infarction

Background

New-onset atrial fibrillation (NOAF) is prognostic in acute myocardial infarction (AMI). The timely identification of high-risk patients is essential for clinicians to improve patient prognosis.

Methods

A total of 333 AMI patients were collected who underwent percutaneous coronary intervention (PCI) at Zhejiang Provincial People's Hospital between October 2019 and October 2020. Least absolute shrinkage and selection operator regression (Lasso) and multivariate logistic regression analysis were applied to pick out independent risk factors. Secondly, the variables identified were utilized to establish a predicted model and then internally validated by 10-fold cross-validation. The discrimination, calibration, and clinical usefulness of the prediction model were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, Hosmer-Lemeshow test decision curve analyses, and clinical impact curve.

Result

Overall, 47 patients (14.1%) developed NOAF. Four variables, including left atrial dimension, body mass index (BMI), CHA2DS2-VASc score, and prognostic nutritional index, were selected to construct a nomogram. Its area under the curve is 0.829, and internal validation by 10-fold cross-folding indicated a mean area under the curve is 0.818. The model demonstrated good calibration according to the Hosmer-Lemeshow test (P = 0.199) and the calibration curve. It showed satisfactory clinical practicability in the decision curve analyses and clinical impact curve.

Conclusion

This study established a simple and efficient nomogram prediction model to assess the risk of NOAF in patients with AMI who underwent PCI. This model could assist clinicians in promptly identifying high-risk patients and making better clinical decisions based on risk stratification.

Association of Malnutrition and High Bleeding Risk with Long-Term Prognosis in Patients with Acute Coronary Syndrome following Percutaneous Coronary Intervention

BACKGROUND

Malnutrition in cardiovascular disease is associated with poor prognosis, especially in patients with heart failure and acute coronary syndrome (ACS). High bleeding risk is also linked to coronary artery disease prognosis, including ACS. However, whether the extent of malnutrition and high bleeding risk have a cumulative impact on the long-term prognosis of patients with ACS who undergo percutaneous coronary intervention remains unclear.

METHODS

We analyzed 275 patients with ACS treated with percutaneous coronary intervention. The Controlling Nutritional Status score and Japanese version of the Academic Research Consortium for High Bleeding Risk criteria (J-HBR) were retrospectively evaluated. The primary and secondary outcomes were adjusted using the inverse probability treatment weighting method.

RESULTS

The prevalence of moderate or severe malnutrition in this cohort was 16%. Kaplan-Meier analysis showed a significantly higher incidence of major adverse cardiovascular and cerebrovascular events in patients who were moderately or severely malnourished than in those who were not. Notably, the incidence of these major events was similar between severely malnourished patients with J-HBR and those without.

CONCLUSION

Moderate or severe malnutrition has a significant impact on the long-term prognosis of patients with ACS who undergo percutaneous coronary intervention.

The Prognostic Value of Johns Hopkins Hospital Nutrition Support Score in Older Patients Undergoing Cardiovascular Surgery

OBJECTIVES

Clarify the prognostic value of the Johns Hopkins Hospital Nutrition Support (JHHNS) score on clinical outcomes in older patients undergoing cardiovascular surgery with cardiopulmonary bypass (CPB).

DESIGN

A retrospective observational study.

SETTING

A teaching and university hospital and tertiary referral center.

PARTICIPANTS

The authors analyzed 328 older patients aged ≥65 who underwent cardiovascular surgery with CPB in 2020.

INTERVENTIONS

Malnutrition risk was identified by the JHHNS score calculated based on specific preoperative and intraoperative objective parameters. Patients were divided into low- and high-JHHNS groups. Early morbidity, including pneumonia, bacteremia, wound infection, cerebrovascular accident, gastrointestinal bleeding, acute kidney injury, delirium, requirement for extracorporeal membrane oxygenation, and readmission to the intensive care unit (ICU), were the primary outcome; whereas in-hospital mortality, length of ICU and hospital stay, duration of mechanical ventilation and short-term mortality were secondary outcomes. The independent risk factors for postoperative complications were analyzed by logistic regression analyses.

MEASUREMENTS AND MAIN RESULTS

The JHHNS score identified 21.0% of patients at risk for malnutrition. Patients in the high-JHHNS group had prolonged median length hospital stay (21 v 24 days, p = 0.002) and mechanical ventilation (13.0 v 16.0 hours, p = 0.038), and more patients in this subgroup stayed longer than 3 days in ICU (30.1% v 43.5%, p = 0.036). Besides, they experienced more postoperative complications (11.2% v 39.1%, p < 0.001). Furthermore, multivariate logistic regression analysis demonstrated that the JHHNS score independently predicted the risk of postoperative complications. No significant intergroup difference was observed for the short-term mortality.

CONCLUSIONS

The JHHNS score was an independent predictor for postoperative complications but did not significantly affect short-term mortality in older patients undergoing cardiovascular surgery with CPB.

Undernutrition Severity Is Associated With Worse Outcomes in Patients With Acute Myocardial Infarction

Malnutrition has been associated with inferior outcomes in patients admitted with acute myocardial infarction (AMI). However, there is a lack of data to assess if the degree of malnutrition correlates with outcome severity. We used the Nationwide Readmission Database for 2016 to 2019 in our cross-sectional study. First, we extracted all cases older than 18 years that include a primary diagnosis of AMI. Appropriate survey and domain analyses were applied to obtain the national estimates using Statistical Analysis Software 9.4. We identified 2,280,393 discharges for AMI. Malnutrition was present in 4% of the study cohort (or 89,490 cases). Half of the patients with malnutrition (or 44,919) had moderate-to-severe malnutrition. The other 44,371 (or 50%) had a milder degree of malnutrition. Patients with malnutrition were younger than those without malnutrition (mean age 72 vs 75 years, p <0.001) and were more often women (48% vs 37%, p <0.001). Patients with malnutrition had a higher prevalence of underlying heart failure, dementia, coagulopathy, and chronic (liver, renal, and lung) diseases (p <0.001). Patients with malnutrition also had a significantly higher inpatient mortality (12.5% vs 4.6%, p <0.001), length of stay (mean of 13 vs 7 days, p <0.001), and 30-day all-cause readmission rates (19% vs 13%, p <0.001). Inpatient mortality on readmission was also higher in those with malnutrition (2% vs 0.6%, p <0.001). The univariate analysis showed that the severity of malnutrition also correlated with a higher inpatient mortality (odds ratio [OR] 2.34 [2.24 to 2.46] for mild malnutrition and 3.65 [3.49 to 3.82] for advanced malnutrition). After adjusting for age, gender, heart failure, dementia, coagulopathy, chronic (liver, renal, and lung) diseases, and history of cardiovascular revascularization, the presence of malnutrition and the severity of malnutrition continued to be associated with a higher inpatient mortality than those without malnutrition (OR 1.20 [1.14 to 1.26] for mild malnutrition and OR 1.69 [1.61 to 1.78] for more severe malnutrition). In conclusion, underlying malnutrition is associated with worse outcomes in patients hospitalized with AMI. The severity of malnutrition also correlates with worse outcomes.

Prediction models for major adverse cardiovascular events following ST-segment elevation myocardial infarction and subgroup-specific performance

Background

ST-segment elevation myocardial infarction (STEMI) patients are at a high residual risk of major adverse cardiovascular events (MACEs) after revascularization. Risk factors modify prognostic risk in distinct ways in different STEMI subpopulations. We developed a MACEs prediction model in patients with STEMI and examined its performance across subgroups.

Methods

Machine-learning models based on 63 clinical features were trained in patients with STEMI who underwent PCI. The best-performing model (the iPROMPT score) was further validated in an external cohort. Its predictive value and variable contribution were studied in the entire population and subgroups.

Results

Over 2.56 and 2.84 years, 5.0% and 8.33% of patients experienced MACEs in the derivation and external validation cohorts, respectively. The iPROMPT score predictors were ST-segment deviation, brain natriuretic peptide (BNP), low-density lipoprotein cholesterol (LDL-C), estimated glomerular filtration rate (eGFR), age, hemoglobin, and white blood cell (WBC) count. The iPROMPT score improved the predictive value of the existing risk score, with an increase in the area under the curve to 0.837 [95% confidence interval (CI): 0.784-0.889] in the derivation cohort and 0.730 (95% CI: 0.293-1.162) in the external validation cohort. Comparable performance was observed between subgroups. The ST-segment deviation was the most important predictor, followed by LDL-C in hypertensive patients, BNP in males, WBC count in females with diabetes mellitus, and eGFR in patients without diabetes mellitus. Hemoglobin was the top predictor in non-hypertensive patients.

Conclusion

The iPROMPT score predicts long-term MACEs following STEMI and provides insights into the pathophysiological mechanisms for subgroup differences.

Prognostic Value of Different Versions of the Model for End-Stage Liver Disease Score in Patients Undergoing Percutaneous Coronary Intervention

The model for end-stage liver disease (MELD) score, which can reflect liver and renal function, is associated with poor prognosis. However, the prognostic performance of the modified MELD score in patients undergoing elective percutaneous coronary intervention (PCI) has not been fully evaluated and compared. This study retrospectively enrolled 5324 patients. During a median follow-up of 2.85 years, 412 patients died. Time-dependent receiver operating characteristic curves at 3 years indicated that the MELD including albumin (MELD-Albumin) score had the highest prognostic performance (AUC = .721) than the MELD score (AUC = .630), the MELD excluding the international normalized ratio (MELD-XI) score (AUC = .606), and the MELD including sodium (MELD-Na) score (AUC = .656) (all P < .001). The MELD-Albumin score, the MELD score, and the MELD-Na score were independent predictors of long-term mortality; however, the MELD-XI score was not when treated as a categorical variable (P = .254). Adding the MELD-Albumin score to the model of clinical risk factors could improve the prognostic performance. For the subgroup analysis, the association between the MELD-Albumin score and long-term mortality was more pronounced in patients ≤75 years (interaction P value = .005). The MELD-Albumin score showed the strongest prognostic performance than the other versions of the MELD score in patients undergoing elective PCI.

Association of Controlling Nutritional Status Score With Adverse Outcomes in Patients With Coronary Artery Disease: A Systematic Review and Meta-Analysis

This systematic review and meta-analysis sought to examine the association between the controlling nutritional status (CONUT) score and adverse outcomes in patients with coronary artery disease (CAD). PubMed and Embase databases were searched for eligible studies from their inceptions to December 12, 2021 to identify studies investigating the association of the CONUT score with major adverse cardiovascular events (MACEs) and all-cause mortality in CAD patients. Twelve studies (36,198 CAD) patients satisfied the criteria. Comparison of the high with low CONUT score, the pooled multivariate adjusted risk ratios (RR) was 1.78 (95% confidence intervals [CI] 1.36-2.32) for MACEs and 1.45 (95% CI 1.27-1.66) for all-cause mortality, respectively. When compared with patients with normal nutrition, malnourished (defined by the CONUT score ≥2) patients conferred a 52% increased risk of MACEs. Additionally, per point CONUT score increment was associated with 15% and 11% higher risk of MACEs and all-cause mortality, respectively. Higher CONUT score independently predicts the MACEs all-cause mortality in CAD patients. Estimation of nutritional status using the CONUT score could be helpful for improving risk classification of CAD.

The association between nutritional risk and contrast-induced acute kidney injury in patients undergoing coronary angiography: a cross-sectional study

Background

Nutritional risk is prevalent in various diseases, but its association with contrast-induced acute kidney injury (CI-AKI) remains unclear. This study aimed to explore this association in patients undergoing coronary angiography (CAG).

Methods

In this retrospective cross-sectional study, 4386 patients undergoing CAG were enrolled. Nutritional risks were estimated by nutritional risk screening 2002 (NRS-2002), controlling nutritional status (CONUT), prognostic nutritional index (PNI), and geriatric nutritional risk index (GNRI), respectively. CI-AKI was determined by the elevation of serum creatinine (Scr). Multivariable logistic regression analyses and receiver operator characteristic (ROC) analyses were conducted. Subgroup analyses were performed according to age (< 70/≥70 years), gender (male/female), percutaneous coronary intervention (with/without), and estimated glomerular filtration rate (< 60/≥60 ml/min/1.73m2).

Results

Overall, 787 (17.9%) patients were diagnosed with CI-AKI. The median score of NRS-2002, CONUT, PNI, and GNRI was 1.0, 3.0, 45.8, and 98.6, respectively. Nutritional risk was proven to be associated with CI-AKI when four different nutritional tools were employed, including NRS-2002 ([3–7 vs. 0]: odds ratio [95% confidence interval], OR [95%CI] = 4.026 [2.732 to 5.932], P < 0.001), CONUT ([6–12 vs. 0–1]: OR [95%CI] = 2.230 [1.586 to 3.136], P < 0.001), PNI ([< 38 vs. ≥52]: OR [95%CI] = 2.349 [1.529 to 3.610], P < 0.001), and GNRI ([< 90 vs. ≥104]: OR [95%CI] = 1.822 [1.229 to 2.702], P = 0.003). This is consistent when subgroup analyses were performed. Furthermore, nutritional scores were proved to be accurate in predicting CI-AKI (area under ROC curve: NRS-2002, 0.625; CONUT, 0.609; PNI, 0.629; and GNRI, 0.603).

Conclusions

Nutritional risks (high scores of NRS-2002 and CONUT; low scores of PNI and GNRI) were associated with CI-AKI in patients undergoing CAG.

Association between visit-to-visit blood pressure variability and adverse events in coronary artery disease patients after coronary intervention

Blood pressure variability (BPV) is independently associated with higher cardiovascular risks. However, whether BPV is associated with poor outcomes for coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI) remained undetermined. We aimed to investigate the relationship between BPV and the outcomes of CAD patients undergoing PCI. Two thousand seven hundred and sixty-two CAD patients (1938 males, mean age 69.6 ± 12.9) who received PCI at Taipei Veterans General Hospital from 2006 to 2015 with multiple blood pressure measurements before and after the index PCI were enrolled. We calculated the standard deviation of systolic blood pressure, diastolic blood pressure, and pulse pressure as parameters of BPV. The primary endpoint was the composite of major adverse cardiovascular events [MACE comprising of cardiovascular death, nonfatal myocardial infarction (MI), and non-fatal stroke] and heart failure hospitalization (HHF). The key secondary endpoint was MACE. Both pre-PCI and post-PCI BPV were associated with CV events even after adjusting for co-morbidities and mean blood pressure. In Cox analysis, for every 1 mmHg increase in systolic BPV, the hazard ratio for the MACE + HHF, MACE, HHF, and cardiovascular death was 1.04 (95%CI: 1.03-1.05), 1.04 (95%CI: 1.02-1.05), 1.05 (95%CI: 1.04-1.06), and 1.06 (95%CI: 1.03-1.09), respectively. The association between BPV and cardiovascular risk is independent of blood pressure control status. The prognostic value of BPV was superior to mean blood pressure in both pre-PCI and post-PCI period. BPV is independently associated with cardiovascular events after PCI and has a better prognostic value than mean blood pressure suggesting the importance of maintaining stable blood pressure for CAD patients.

Development and validation of a prognostic nomogram based on objective nutritional indexes in ischemic stroke patients with large vessel occlusion undergoing endovascular thrombectomy

BACKGROUND AND AIMS

Preserved nutritional status in acute ischemic stroke patients with large vessel occlusion (LVO) undergoing endovascular thrombectomy (EVT) is important but lacks an effective evaluation method. We aimed to investigate the prognostic value of objective nutritional indexes (ONIs) in LVO patients after EVT that were validated by studies in patients with other vascular diseases receiving intervention therapy and to develop a functional prediction nomogram for better stroke management.

METHODS AND RESULTS

LVO patients undergoing EVT from 2016 to 2020 were retrospectively enrolled and randomly classified into training and validation cohorts at a ratio of 7:3. The ONIs, including the Controlling Nutritional Status (CONUT) score, Nutritional Risk Index (NRI), and Prognostic Nutritional Index (PNI), were calculated. A stepwise logistic regression model for 3-month poor functional outcome based on the smallest Akaike information criterion was employed to develop the nomogram, and the nomogram's determination and clinical use were tested by area under the curve (AUC), calibration plots, and decision curve analysis and compared with three earlier prognostic models. A total of 418 patients were enrolled. The CONUT independently related and increased the risk of 3-month poor functional outcome with an OR of 1.387 (95% CI: 1.133-1.698, p = 0.002). A nomogram including CONUT and other seven factors (AIC = 274.568) was developed. The AUC of the nomogram was 0.847 (95% CI: 0.799-0.894) and 0.836 (95% CI: 0.755-0.916) in the training and validation cohort, respectively, with better predictive performance and clinical utility than previous models.

CONCLUSION

The CONUT independently related to the poor functional outcome, and the newly established nomogram reliably predicted the functional outcome in LVO patients after EVT.

The Association of Controlling Nutritional Status Score and Prognostic Nutritional Index with Cardiovascular Diseases: the Fukuoka Kidney Disease Registry Study

AIM

The Controlling Nutritional Status (CONUT) score and the Prognostic Nutritional Index (PNI) reflect the immunonutritional status of patients. However, the associations of these two indices with cardiovascular disease (CVD) have not been characterized in patients with chronic kidney disease (CKD). Therefore, the current study aimed to determine whether the CONUT score or PNI was associated with prior CVD in patients with CKD.

METHODS

A cross-sectional study of 2,751 patients with CKD who were not on dialysis was performed. The patients were grouped into tertiles (T1-T3) of PNI and placed into three groups following their CONUT score: low- (CONUT score, 0), mild- (CONUT score, 1-2), and moderate-to-high- (CONUT score, ≥ 3) risk groups.

RESULTS

Prior CVD was present in 655 (24%) of the participants. Multivariable logistic regression analyses, with adjustment for potential confounders, showed that high CONUT score was associated with prior CVD than the low score (mild-risk group: odds ratio [OR]=1.35, 95% confidence interval [CI]=1.04-1.76; moderate-to-high-risk group: OR=1.66, 95% CI=1.19-2.30). In addition, the lower PNI tertiles were independently associated with prior CVD compared with T3 of PNI (T1: OR=1.45, 95% CI=1.09-1.92; T2: OR=1.32, 95% CI=1.01-1.72).

CONCLUSIONS

Both CONUT score and PNI were found to be independently associated with prior CVD in patients with CKD in the present cross-sectional study. A longitudinal study is needed to elucidate whether these two indices are associated with subsequent cardiovascular events.

Prognostic Potential of the Controlling Nutritional Status (CONUT) Score in Predicting All-Cause Mortality and Major Adverse Cardiovascular Events in Patients With Coronary Artery Disease: A Meta-Analysis

Background

As defined by the Controlling Nutrition Status (CONUT) score, the prognostic significance of nutritional status has attracted attention in patients with cardiovascular disease. This meta-analysis aimed to determine the importance of CONUT score for prediction of all-cause mortality and major adverse cardiovascular events (MACE) in adult patients with coronary artery disease (CAD).

Methods

Observational studies conducted to evaluate the association of CONUT score with adverse clinical outcomes in patients with CAD were included. We searched MEDLINE, Embase, Scopus, Cochrane library, Google scholar, medRxiv pre-print as well as Science Direct search engine for studies published from the inception of each database until March 21, 2022. Studies reporting the utility of CONUT score in prediction of all-cause mortality and MACE among patients with CAD were eligible. Predictive potential of the CONUT score were summarized by pooling the multivariable adjusted hazard ratio (aHR) with 95% CI for the malnourished vs. normal nutritional status or per point CONUT score increase.

Results

Of 2,547 screened citation, nine observational studies involving 81,257 patients with CAD were analyzed. Malnutrition defined by the CONUT score was associated with significantly increased risk of all-cause mortality when compared with the normal nutritional state (aHR for mild, moderate, and severe malnutrition, respectively: (1.21 [95% CI: 1.15–1.27], I² = 0%), (1.53 [95% CI: 1.26–1.84], I² = 84%), and (2.24 [95% CI: 1.57–3.19], I² = 77%). Similarly, moderate (aHR 1.71 [95% CI: 1.44–2.03], I² = 0%) and severe (aHR 2.66 [95% CI: 1.82–3.89], I² = 0%) malnutrition was associated with a significantly higher risk of MACE compared with the normal nutritional state. Additionally, per point increase in the CONUT score was correlated with 20 and 23% additional risk of all-cause mortality and MACE, respectively.

Conclusion

As defined by the CONUT score, malnutrition is an independent predictor of all-cause mortality and MACE in CAD patients. Nutritional assessment with CONUT score could allow clinicians to identify patients with CAD at high risk for adverse clinical outcomes.

Association of Four Nutritional Scores With All-Cause and Cardiovascular Mortality in the General Population

Background and Aims

Malnutrition is a well known risk factor for adverse outcomes in patients with cancer, cardiovascular disease (CVD) and chronic kidney disease, but epidemiological evidence on its relationship with the long-term risk of all-cause mortality and cardiovascular death is limited.

Methods

A total of 20,116 adults from the United States National Health and Nutrition Examination Survey 2007–2014 were enrolled. The Geriatric Nutritional Risk Index (GNRI), Prognostic Nutritional Index (PNI), Controlling Nutritional Status (CONUT) score, and Triglycerides (TG) × Total Cholesterol (TC) × Body Weight (BW) Index (TCBI) were calculated at baseline. Cox regression and the Kaplan–Meier analysis were conducted when participants were divided into three groups according to the tertiles of objective nutritional scores. Restricted cubic spline was performed to further explore the shape of the relationship between all-cause mortality, cardiovascular death, and nutritional scores. In addition, the area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were conducted to assess which nutritional scores have the greatest predictive value for all-cause death and cardiovascular death in the general population.

Results

The cumulative incidence of all-cause death and cardiovascular death was significantly higher in participants with a higher CONUT score, lower GNRI, and lower PNI. TCBI showed the worst performance on grading and risk assessment. After adjusting confounding factors, the lowest PNI and GNRI tertile and highest COUNT score were independently and significantly associated with increased risk of all-cause death (all P < 0.01) and cardiovascular death (all P < 0.05) analyzed by a multivariate Cox regression model. An L-shaped association between the HR (hazard ratio) of all-cause mortality and nutritional scores (GNRI, PNI and TCBI) was observed in the overall populations. In addition, the PNI had the highest predictive value for all-cause mortality [AUC: 0.684, 95% confidence interval (CI): 0.667–0.701] and cardiovascular death (AUC: 0.710, 95% CI: 0.672–0.749) in the general population compared with other nutritional scores.

Conclusion

The poorer the nutritional status of the general population, the higher the all-cause mortality and cardiovascular mortality. The PNI score may provide more useful predictive values than other nutritional scores.

Controlling Nutritional Status (CONUT) Predicts Survival in Gastric Cancer Patients With Immune Checkpoint Inhibitor (PD-1/PD-L1) Outcomes

Objective: The controlling nutritional status (CONUT), based on total lymphocyte count (TL), total cholesterol level (T-CHOL), and serum albumin (ALB), can provide a useful immunological prognostic biomarker for cancer patients. The present study aims to investigate the correlation between CONUT and prognosis in gastric cancer patients receiving immune checkpoint inhibitor (ICI) treatment.

Methods: We retrospectively enrolled 146 patients with gastric cancer treated with ICIs (PD-1/PD-L1 inhibitors) from August 2016 to December 2020. The clinicopathologic characteristics were analyzed by Chi-square test or Fisher’s exact test. The Kaplan–Meier and log-rank test were used to calculate and compare progression-free survival (PFS) and overall survival (OS). The prognostic and predictive factors of PFS and OS were identified by univariate and multivariate analyses. A nomogram was developed to estimate 1-, 3-, and 5-year PFS and OS probability.

Results: Through the CONUT score, there were 75 (51.37%) patients in the low CONUT group and 71 (48.63%) patients in the high CONUT group. There was a correlation between the CONUT score and age (p = 0.005), pathology (p = 0.043), ALB (p = 0.020), PALB (p = 0.032), and Hb (p = 0.001). The CA724, TNM stage, and treatment (ICIs vs. chemotherapy) were the independent prognostic factors for PFS and OS by multivariate analyses. Patients with high CONUT score had poorer PFS and OS (χ² = 3.238, p = 0.072, and χ² = 4.298, p = 0.038). In the subgroup analysis, the patients with high CONUT score were associated with shorter PFS and OS with ICIs or chemotherapy. With the PD-1/PD-L1 positive expression, the patients with high CONUT score had shorter PFS and OS than those with low CONUT score. Furthermore, the patients with high CA724 value were associated with shorter PFS and OS. The toxicity assessment in ICIs or chemotherapy was significantly associated with anemia. The nomograms were constructed to predict the probability of 1-, 3-, and 5-year PFS, and 1-, 3-, and 5-year OS with C-indices of 0.749 and 0.769, respectively.

Conclusion: The CONUT, as a novel immuno-nutritional biomarker, may be useful in identifying gastric cancer patients who are unlikely to benefit from ICI treatment.

Implications of Malnutrition on Contrast-Associated Acute Kidney Injury in Young and Old Patients Undergoing Percutaneous Coronary Intervention: A Multicenter Prospective Cohort

Background

The relationship between malnutrition and the risk of contrast-associated acute kidney injury (CA-AKI) and the resulting prognosis in patients undergoing percutaneous coronary intervention (PCI) is still not well known.

Methods

Patients undergoing PCI were consecutively enrolled in a multicenter study in China (NCT01402232), categorized by nutritional status (non-malnutrition, malnutrition) based on two different cut-off values (i.e., traditional threshold and the best cut-off value based on the receiver operating characteristic (ROC) curve) for the controlling nutritional status (CONUT) score. The primary endpoint was CA-AKI, diagnosed as a rise in serum creatinine &gt;0.3 mg/dl or &gt;50% than the baseline level occurring within 48 h after the intervention. The secondary endpoint was all-cause mortality. The relationships of malnutrition, CA-AKI, and all-cause mortality were examined using multivariate-adjusted logistic and Cox regression analyses, respectively.

Results

Among 2,083 patients undergoing PCI (age: 62.8 ± 11.1 years; 79.0% men), 1,258 (60.4%) were malnourished. During hospitalization, 80 (3.8%) patients developed CA-AKI events. The incidence of CA-AKI in patients who did not have malnutrition (the non-malnutrition group) and those who did have malnutrition (the malnutrition group) was 1.7% and 5.25%, respectively. Patients with malnutrition had a 2-fold increased adjusted risk of CA-AKI compared to those with no malnutrition [adjusted odds ratio (aOR) (95% confidence interval CI): 2.41 (1.22 to 5.22)]. Malnutrition was associated with a 3-fold increased adjusted risk of CA-AKI in patients aged ≤ 75 years [N = 1,791, aOR (95% CI): 3.39 (1.46–9.25)]. Malnourished patients with CA-AKI had a higher risk of all-cause mortality than the others. Similar results were observed in the grouping of Supplemental Analyses based on the optimal cut-off value of the CONUT score identified by the ROC curve.

Conclusions

Malnutrition is strongly associated with an increased risk of CA-AKI in both young and old patients undergoing PCI. Malnourished patients with CA-AKI had a significantly higher risk of all-cause mortality. Further studies are needed to prospectively assess the efficacy of nutritional interventions on outcomes in patients undergoing PCI.

Paradoxical Association Between Baseline Apolipoprotein B and Prognosis in Coronary Artery Disease: A 36,460 Chinese Cohort Study

Background

Apolipoprotein B (ApoB) and low-density lipoprotein cholesterol (LDL-C) were identified targets for blood lipid management among coronary artery disease (CAD) patients. However, previous studies reported an inverse correlation between baseline LDL-C concentration and clinical outcomes. This study aims to explore the definite association between baseline ApoB and long-term prognosis.

Methods

A total of 36,460 CAD patients admitted to Guangdong Provincial People's Hospital were enrolled and categorized into two groups: high ApoB (≥65 mg/dL) group and low ApoB (<65 mg/dL) group. The association between baseline ApoB and long-term all-cause mortality was evaluated by the Kaplan-Meier method, Cox regression analyses and restricted cubic splines.

Results

The overall mortality was 12.49% (n = 4,554) over a median follow-up period of 5.01 years. Patients with low baseline ApoB levels were paradoxically more likely to get a worse prognosis. There was no obvious difference in risk of long-term all-cause mortality when only adjusted for age, gender, and comorbidity (aHR: 1.07, 95% CI: 0.99–1.16). When CONUT and total bilirubin were adjusted, the risk of long-term all-cause mortality would reduce in the low-ApoB (<65 mg/dL) group (aHR: 0.86, 95% CI: 0.78–0.96). In the fully covariable-adjusted model, patients in the ApoB <65 mg/d group had a 10.00% lower risk of long-term all-cause mortality comparing to patients with ApoB ≥65 mg/dL (aHR: 0.90; 95% CI:0.81–0.99).

Conclusion

This study found a paradoxical association between baseline ApoB and long-term all-cause mortality. Malnutrition and bilirubin mainly mediate the ApoB paradox. Increased ApoB concentration remained linearly associated with an increased risk of long-term all-cause mortality.

Malnutrition on admission increases the in-hospital mortality and length of stay in elder adults with acute ischemic stroke

Purpose

Malnutrition, as determined by the Controlling Nutritional Status (CONUT), has an effect on the 3‐month and long‐term prognosis of stroke patients. The association between malnutrition and in‐hospital mortality has not been well established. We aimed to investigate the relationship between the CONUT score on admission and in‐hospital mortality and length of stay (LOS) in elderly patients with acute ischemic stroke (AIS).

Methods

This study analyzed controls and patients with AIS. Malnutrition was determined using the CONUT score. A CONUT score of 5–12 was defined as undernutrition status. Based on the CONUT scores, the patients were divided into the low CONUT (0–4) and high CONUT (5–12) groups.

Results

In total, 1079 participants were recruited, comprising 288 controls and 791 AIS patients. Among the 791 patients, 64 (8.1%) had malnutrition and 63 (7.9%) had an in‐hospital death. Compared to the controls, the AIS patients presented higher CONUT scores, higher proportion of in‐hospital mortality (8.0%), and longer length of stay. Malnutrition was independently associated with in‐hospital mortality in the AIS patients (adjusted odds ratio: 3.77, 95% confidence interval [CI]: 1.55–9.15; p = 0.003). The general linear models showed an association between the CONUT score and LOS (β = 0.574, 95% CI: 0.208–0.934; p = 0.002). Furthermore, the effect of the interaction between infection and nutrition status on in‐hospital mortality showed borderline statistical significance (p = 0.06).

Conclusions

Malnutrition estimated by the CONUT score on admission can be a predictor of in‐hospital mortality and increased LOS in elderly AIS patients.

Mild Malnutrition Contributes the Greatest to the Poor Prognosis in Coronary Artery Disease With Well-Controlled Low-Density Lipoprotein Cholesterol Levels: A 4,863 Chinese Cohort Study

Background: Previous studies reported that patients with coronary artery disease (CAD) and well-controlled baseline LDL-C (<1.8 mmol/L) still had higher long-term all-cause mortality. However, no study has been conducted to explore the independent risk factors for long-term mortality. In addition, there also was no study evaluating the population attributable risk (PAR) of independent risk factors in combination with their prevalence and relative risk. Therefore, we aimed to identify the independent risk factors and estimate their PAR in patients with CAD and well-controlled baseline LDL-C (<1.8 mmol/L). Methods: We analyzed 4,863 consecutive CAD patients with well-controlled baseline LDL-C admitted to Guangdong Provincial People's Hospital in China from January 2007 to December 2018. Independent risk factors for long-term all-cause death were evaluated through stepwise approach and multivariable Cox regression analysis. PAR of independent risk factors was calculated with their hazard ratio and prevalence among our cohort. Results: The overall mortality was 16.00% (n = 778) over a median follow-up period of 5.93 years. Independent risk factors for all-cause death included malnutrition, age ≥75 years, congestive heart failure (CHF), chronic kidney disease (CKD) and atrial fibrillation. Among these risk factors of interest, the hazard ratio (HR) of severe malnutrition was the highest (HR 2.82, 95% CI: 1.86-4.26), and the PAR of mild malnutrition was the highest (19.49%, 95% CI: 0.65-36.01%). Conclusion: Malnutrition, age ≥75 years, CHF, CKD and atrial fibrillation were independent predictors for long-term all-cause mortality in CAD patients with well-controlled LDL-C levels. Considering prevalence of these risk factors, more attention should be paid to the occurrence of mild malnutrition for these patients. Clinical Trial Registration: ClinicalTrials.gov, identifier: NCT04407936.

Prognostic Value of 3 Nutritional Screening Tools to Predict 30-Day Outcome in Patients Undergoing Carotid Artery Stenting

The effect of malnutrition on outcomes after carotid artery stenting (CAS) is not well known. This study reports the relationship between malnutrition and post-procedure 30-day major adverse events (MAEs). A total of 978 patients hospitalized for CAS were enrolled in the study. Controlling nutritional status (CONUT) score, the nutritional risk index (NRI), and the prognostic nutritional index (PNI) were calculated. MAEs (myocardial infarction, stroke/transient ischemic attack and mortality) were compared. According to the CONUT score, NRI, and PNI, 9.4%, 41%, and 11.4% patients were moderately or severely malnourished, respectively; 74.8% were at least mildly malnourished by at least 1 score. Forty-seven patients (4.8%) had a post-procedure 30-day MAE. Continuous classifications of the indexes were independently associated with higher MAE. CONUT showed the highest predictive ability, whereas NRI had the lowest (C-index: CONUT, 0.701; NRI, 0.681; PNI, 0.688). According to categorical classification of indexes, only CONUT and PNI showed predictive ability for MAE. Malnutrition assessment could identify patients with CAS at elevated risk for MAE. CONUT, NRI, and PNI continuous scores were independent prognostic factors for the post-procedure 30-day MAE. According to our study, CONUT showed the highest predictive ability.

Association Between Nutritional Indices and Long-Term Outcomes in Patients Undergoing Isolated Coronary Artery Bypass Grafting

Background It is well known that approximately 20% of patients who undergo cardiac surgery experience weight loss in postoperative period. However, there is a lack of data on postoperative consequences of malnutrition. This study aimed to investigate the relationship between nutritional status and long-term outcomes in patients undergoing isolated coronary artery bypass grafting (CABG). Material and methods A total of 586 patients who underwent isolated CABG in our center between January 2015 and March 2016 were included in this study. The primary outcome was major adverse cardiac and cerebrovascular events (MACCE) defined as a composite of all-cause death, non-fatal myocardial infarction (MI), and stroke. Patients were divided into two groups based on their MACCE outcomes. Prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI), and controlling nutritional status (CONUT) scores were used to show the nutritional status. Results The mean follow-up time of the whole study group was 38.08 ± 13.4 months. The follow-up time was 39 ± 13 months in patients with mortality, while it was 20 ± 15 months in those without mortality. The PNI and GNRI values were lower in patients with major adverse cardiac and cerebrovascular events (MACCE) compared to patients without MACCE. The median CONUT score was higher in patients with MACCE. Conclusion Our study showed that nutritional indices including PNI, CONUT, and GNRI were associated with long-term MACCE and mortality in patients who underwent isolated CABG. The use of these scores in order to predict prognosis in patients treated with CABG seems to be an applicable method in clinical practice.

Impact of the Malnutrition on Mortality in Elderly Patients Undergoing Percutaneous Coronary Intervention

Purpose

Malnutrition has been shown to be related to adverse clinical outcomes in patients with heart failure, hypertension, atrial fibrillation and other cardiovascular diseases. However, in the patients with coronary artery disease (CAD) undergoing percutaneous coronary interventions (PCI), especially in the elderly, the association of nutritional state and all-cause mortality remains unknown. We aimed to investigate the association of malnutrition with all-cause mortality in the elder patients undergoing PCI.

Patients and Methods

Based on the largest retrospective and observational cohort study from January 2007 to December 2017, the Controlling Nutritional Status (CONUT) score was applied to 21,479 consecutive patients with age ≥60 who undergoing PCI for nutritional assessment. Participants were classified as absent, mild, moderate and severe malnutrition by CONUT score. The Kaplan-Meier method was used to compare all-cause mortality among the above four groups. Multivariable Cox proportional hazard regression analyses were performed to examine the association of malnutrition with all-cause mortality.

Results

According to the CONUT score, 48.19%, 15.08% and 0.94% patients were mildly, moderately and severely malnourished, respectively. During a median follow-up of 5.16 years (interquartile range: 3.02 to 7.89 years), 3173 (14.77%) patients died. Kaplan-Meier analysis showed that the risk of all-cause mortality was significantly higher in patients with a worse nutritional status. Compared with normal nutritional state, malnutrition was associated with significantly increased risk for all-cause mortality (adjusted hazard ratio for mild, moderate and severe degrees of malnutrition, respectively: 1.20 [95% confidence interval (CI): 1.09 to 1.33], 1.32 [95% CI: 1.17 to 1.49] and 1.76 [95% CI: 1.33 to 2.33]).

Conclusion

Malnutrition is prevalent among elderly patients with CAD undergoing PCI, and is strongly related to the all-cause mortality increasing. For elderly patients with CAD undergoing PCI, it is necessary to assess the status of nutrition, and evaluate the efficacy of nutritional interventions.

Visceral Adiposity in Relation to Body Adiposity and Nutritional Status in Elderly Patients with Stable Coronary Artery Disease

Introduction: The accumulation of visceral abdominal tissue (VAT) seems to be a hallmark feature of abdominal obesity and substantially contributes to metabolic abnormalities. There are numerous factors that make the body-mass index (BMI) a suboptimal measure of adiposity. The visceral adiposity index (VAI) may be considered a simple surrogate marker of visceral adipose tissue dysfunction. However, the evidence comparing general to visceral adiposity in CAD is scarce. Therefore, we have set out to investigate visceral adiposity in relation to general adiposity in patients with stable CAD. Material and methods: A total of 204 patients with stable CAD hospitalized in the Department of Medicine and the Department of Geriatrics entered the study. Based on the VAI-defined adipose tissue dysfunction (ATD) types, the study population (N = 204) was divided into four groups: (1) no ATD (N = 66), (2) mild ATD (N = 50), (3) moderate ATD (N = 48), and (4) severe ATD (N = 40). Nutritional status was assessed using the Controlling Nutritional Status (CONUT) score. Results: Patients with moderate and severe ATD were the youngest (median 67 years), yet their metabolic age was the oldest (median 80 and 84 years, respectively). CONUT scores were similar across all four study groups. The VAI had only a modest positive correlation with BMI (r = 0.59 p < 0.01) and body adiposity index (BAI) (r = 0.40 p < 0.01). There was no correlation between VAI and CONUT scores. There was high variability in the distribution of BMI-defined weight categories across all four types of ATD. A total of 75% of patients with normal nutritional status had some form of ATD, and one-third of patients with moderate or severe malnutrition did not have any ATD (p = 0.008). In contrast, 55-60% of patients with mild, moderate, or severe ATD had normal nutritional status (p = 0.008). ROC analysis demonstrated that BMI and BAI have poor predictive value in determining no ATD. Both BMI (AUC 0.78 p < 0.0001) and BAI (AUC 0.66 p = 0.003) had strong predictive value for determining severe ATD (the difference between AUC 0.12 being p = 0.0002). However, BMI predicted mild ATD and severe ATD better than BAI. Conclusions: ATD and malnutrition were common in patients with CAD. Notably, this study has shown a high rate of misclassification of visceral ATD via BMI and BAI. In addition, we demonstrated that the majority of patients with normal nutritional status had some form of ATD and as much as one-third of patients with moderate or severe malnutrition did not have any ATD. These findings have important clinical ramifications for everyday practice regarding the line between health and disease in the context of malnutrition in terms of body composition and visceral ATD, which are significant for developing an accurate definition of the standards for the intensity of clinical interventions.

Nutritional status and risk of contrast-associated acute kidney injury in elderly patients undergoing percutaneous coronary intervention

Background

This study aimed to investigate the connection between malnutrition evaluated by the Controlling Nutritional Status (CONUT) score and the risk of contrast-associated acute kidney injury (CA-AKI) in elderly patients who underwent percutaneous coronary intervention (PCI).

Methods

A total of 1308 patients aged over 75 years undergoing PCI was included. Based on the CONUT score, patients were assigned to normal (0–1), mild malnutrition (2–4), moderate-severe malnutrition group (≥ 5). The primary outcome was CA-AKI (an absolute increase in ≥ 0.3 mg/dL or ≥ 50% relative serum creatinine increase 48 h after contrast medium exposure).

Results

Overall, the incidence of CA-AKI in normal, mild, moderate-severe malnutrition group was 10.8%, 11.0%, and 27.2%, respectively (p < 0.01). Compared with moderate-severe malnutrition group, the normal group and the mild malnutrition group showed significant lower risk of CA-AKI in models adjusting for risk factors for CA-AKI and variables in univariate analysis (odds ratio [OR] = 0.48, 95% confidence interval [CI]: 0.26–0.89, p = 0.02; OR = 0.46, 95%CI: 0.26–0.82, p = 0.009, respectively). Furthermore, the relationship were consistent across the subgroups classified by risk factors for CA-AKI except anemia. The risk of CA-AKI related with CONUT score was stronger in patients with anemia. (overall interaction p by CONUT score = 0.012).

Conclusion

Moderate-severe malnutrition is associated with higher risk of CA-AKI in elderly patients undergoing PCI.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10157-021-02061-4.

Prognostic influence of objective nutritional indexes on mortality after surgical aortic valve replacement in elderly patients with severe aortic stenosis (from the nutrition-SAVR trial)

AIM

Several scoring systems, such as controlling nutritional status (CONUT) score, geriatric nutritional risk index (GNRI), and prognostic nutritional index (PNI), have been previously described to show nutritional status. In the present study, we aimed to investigate the value of these scoring systems in predicting in-hospital and long-term mortality in patients undergoing surgical aortic valve replacement (SAVR).

METHODS

PNI, GNRI, and CONUT were determined using the receiver operator characteristics curve analysis in 150 consecutive elderly patients (age: 70 (66-74) years, male: 78) who underwent SAVR due to degenerative severe aortic stenosis (AS). Patients were divided into two groups according to cutoff values from these indexes.

RESULTS

During the 50 ± 31 months follow-up period, a total of 36 (24%) patients died. 30-day mortality, 1-year mortality, and total mortality were significantly higher in lower PNI, lower GNRI, and higher CONUT groups. PNI cutoff value was 49.2, GNRI cutoff value was 102.5, and CONUT cutoff value was 1.5. PNI ≤ 49.2, GNRI ≤ 102.5, and CONUT > 1.5 values were found to be independent predictors of total mortality even after risk adjustment. In addition, in the mortality group, PNI (53.7 ± 5.9 vs. 47.4 ± 6.3; p < .001) and GNRI (108 ± 10 vs. 99 ± 6.3); p < .001) were significantly lower, while CONUT score (1 [0-2] vs. 2 [0.2-3]; p < .001) was significantly higher.

CONCLUSION

Objective nutritional indexes including CONUT score, PNI, and GNRI are important prognostic factors and those indexes should be part of frailty assessment in patients with severe AS.

Relationship between Nutritional Status and Clinical and Biochemical Parameters in Hospitalized Patients with Heart Failure with Reduced Ejection Fraction, with 1-year Follow-Up

Heart Failure (HF) is a cardiovascular disease with continually increasing morbidity and high mortality. The purpose of this study was to analyze nutritional status in patients diagnosed with HF with reduced ejection fraction (HFrEF) and evaluate the impact of malnutrition on their prognosis. The Polish version of MNA form (Mini Nutritional Assessment) was used to assess the patients’ nutritional status. The New York Heart Association (NYHA) class, exacerbation of HF, chosen echocardiographic and biochemical parameters, e.g., natriuretic peptides or serum albumin, were also analyzed. Among the 120 consecutive patients, 47 (39%) had a normal nutritional status, 62 (52%) were at risk of malnutrition and 11 (9%) were malnourished. The patients with malnutrition more frequently presented with HF exacerbation in comparison to those with normal nutritional status (82% vs. 30% respectively, p = 0.004). There were no significant differences between the investigated groups as to natriuretic peptides; however, both the malnourished patients and those at risk of malnutrition tend to show higher B-type natriuretic peptide (BNP) and NT-proBNP concentrations. During the average 344 days of follow-up 19 patients died and 25 were hospitalized due to decompensated HF. Malnutrition or being at risk of malnutrition seems to be associated with both worse outcomes and clinical status in HFrEF patients.